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New Oriental officially launched its first consumer-facing original AI education product - New Oriental AI 1-on-1 today. This is not only a major breakthrough in teaching methods, but also marks a critical step in New Oriental's strategic layout of "Education + AI." The core competitiveness of New Oriental AI 1-on-1 lies in providing learners with a high-frequency interactive 1-on-1 learning experience. The AI teacher can realistically reproduce the learning environment, achieving real interaction and real Q&A. At the same time, the AI teacher is patient, responsible, proficient in teaching, and can provide timely feedback, as well as praise and encourage students.

In a live stream on June 24, renowned education blogger Zhang Xuefeng gave an unexpected answer to the question of whether he was worried about being replaced by AI. He said, 'It would be best if I could be replaced!' This view sparked heated discussions among the audience. Zhang Xuefeng believes that the current development speed of AI is indeed astonishing, especially in the field of college entrance exam major selection. Intelligent platforms such as "Quark" can already generate professional application reports and have deep search functions, which were unimaginable a few years ago. Image source note: The image is generated by AI.

A comprehensive review of MyBodyType.net's AI Body Type Calculator, comparing seven body type classification systems and differences between free and paid versions, revealing the accuracy and practical value of AI-based body analysis to help users decide if this body assessment service is worth investing in.

Recently, OpenAI announced the launch of its latest o3-pro AI model, which is designed to provide more reliable and accurate responses for enterprises. As an advanced version of the o series inference models, o3-pro supports more software tool integrations and is particularly suitable for businesses and developers requiring high precision and accuracy. However, the response speed of o3-pro has slowed down compared to previous models. OpenAI stated that due to o3-pro's enhanced capabilities with richer tools, it needs extra time when handling complex problems.

Recently, the Shanghai University of Finance and Economics held the 'Kuangshi Financial and Economic Education Large Model' Release Conference and Digital Intelligence New Financial Forum in Shanghai. This innovative intelligent education platform was officially launched. The large model aims to accurately meet the diverse needs of financial education, marking an important step for the school in deeply integrating financial education with artificial intelligence (AI). Professor Zhang Liwen from the College of Statistics and Data Science at the Shanghai University of Finance and Economics introduced that this large model fully relies on the school's rich financial discipline background and advanced technological exploration, aiming to build a service platform for various types of financial education.

Recently, Stanford University released a comprehensive evaluation of clinical medical AI models. DeepSeek R1 stood out as the champion among nine leading large models, achieving a 66% win rate and a macro average score of 0.75. The highlight of this evaluation is that it not only focuses on traditional medical license exam questions but also delves into the daily work scenarios of clinical doctors, providing more practical assessments. The evaluation team developed an integrated assessment framework called MedHELM, which includes 35 benchmarks covering 22 subtasks in medicine.

Recently, Google officially released the open source framework LMEval, aimed at providing standardized evaluation tools for large language models (LLMs) and multimodal models. The launch of this framework not only simplifies cross-platform model performance comparisons, but also supports assessments in areas such as text, images, and code, showcasing Google's latest breakthroughs in the field of AI evaluations. AIbase has compiled the latest developments of LMEval and its impact on the AI industry. Standardized Evaluations: Simplified Cross-Platform Model Comparisons

Recently, a new evaluation benchmark - RBench-V, specifically designed to test the visual reasoning capabilities of multi-modal large models, was released by research teams from Tsinghua University, Tencent HUNYUAN, Stanford University, and Carnegie Mellon University. The introduction of this benchmark aims to fill the gap in the current evaluation system regarding the model's visual output capabilities, allowing for a more comprehensive understanding of existing model performance. The RBench-V benchmark consists of 803 questions covering multiple fields, including geometry and graph theory, mechanics and electromagnetism, multi-target recognition, and path planning.

OpenAI has officially released a large dataset designed to evaluate the ability of large language models to answer questions in the healthcare field. This project is named HealthBench, and experts have highly praised this open-source data and detailed evaluation criteria, calling it "unprecedented" in scale and breadth. Image source note: The image was generated by AI, and the image authorization service provider is Midjourney. The HealthBench project marks OpenAI's first attempt in the healthcare sector.

Another breakthrough in the application of artificial intelligence in education! A new AI tool named VideoTutor has sparked heated discussions recently. Its innovative function allows users to generate teaching videos similar to those of Khan Academy style by simply entering one sentence or uploading a screenshot of a question, covering scenarios such as K12 education and SAT preparation. AIbase provides an in-depth analysis of this star in education technology for you, including its highlights and potential. One-sentence Generation of Personalized Teaching Videos is the core highlight of VideoTutor.

Israel is poised to become the first country globally to implement AI tutoring nationwide. Startup eSelf, in collaboration with the Center for Educational Technology (CET), Israel's largest K-12 textbook publisher, will provide personalized AI personal tutoring to students across the country. Harvard University will serve as an academic advisor for the pilot program, evaluating its educational framework and impact. The initial pilot phase, launching in May, is expected to involve 10,000 students. This collaboration aims to address two major challenges facing education today: declining student achievement and a global teacher shortage.

OpenAI's Chief Product Officer recently stated publicly that educational AI is one of the most valuable areas for artificial intelligence, with a vision of providing every child with an AI tutor. Research shows that children receiving tutoring significantly outperform those in traditional education, and the widespread adoption of AI will extend this advantage to 3 billion children globally. AIbase observes that this vision is driving a wave of intelligent transformation in global education. OpenAI is committed to fully supporting the widespread adoption of educational AI applications, injecting new energy into educational equity and efficiency. Image source note:

At the recent 3rd China AIGC Industry Summit, Fenbi AI received two significant awards: "2025 Notable AIGC Enterprise" and "2025 Notable AIGC Product", recognizing its outstanding achievements in vocational education. Hosted by QuantumBit, the summit, themed "Everything is AI," attracted numerous experts and professionals from the technology and education sectors. Fenbi's CTO, Jianhua Chen, delivered a keynote speech titled "Reshaping and Practicing Intelligent Education: The Landing Path of Large Models".

Tech giant OpenAI recently announced the acquisition of the startup Context.ai team to bolster its AI model evaluation and analysis capabilities. Founded in 2023 by former Google employees Henry Scott-Green and Alex Gamble, Context.ai provides developers with in-depth analysis and visualization tools for AI model performance. This acquisition underscores OpenAI's commitment to advancing AI technology.